This map shows interpolated Airbnb prices (USD/night) across Seattle. Each hexagon corresponds to an H3 grid cell whose centroid was used for interpolation. Color intensity represents predicted price levels using a radius-based neighbor regression (radius = 500 m).
Reading layer `seattle_grid10' from data source
`/Users/vinconig/Desktop/PUCP/ADE/Repos/Homework2/seattle_grid10.gpkg'
using driver `GPKG'
Simple feature collection with 16258 features and 4 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 379690.6 ymin: 56059.7 xmax: 394310.5 ymax: 82845.06
Projected CRS: NAD83 / Washington North
Isn`t this really cool, i think so HTML Retro Stuff
Here we just look at the summary feature of R that entails Median and Quartile etc. For this feature, we dropped all NaN values.
Min. 1st Qu. Median Mean 3rd Qu. Max.
31.00 59.00 72.95 90.81 128.00 193.00